Articles by Mauro Cesa
Mind the tax when hedging TRS
New model gauges whether deals are still profitable, after taxes
Podcast: Lipton and de Prado on Covid and trading strategies
Top quants discuss collaboration and their worries about the economic recovery
A tale of two (or three, or four) models
Performance measure based on quality of replicating portfolios outperforms ‘P&L explain’, new paper claims
Podcast: Kaminski and Ronn on negative oil and options pricing
The market is gravitating to the Bachelier model as an alternative to Black 76
Solving the enigma of the volatility smiles
Has the problem of jointly calibrating the volatility smiles of the Vix and S&P 500 been solved?
To model the real world, quants turn to synthetic data
Future financial models will be built using artificially generated data
Three adjustments in calibrating models with neural networks
New research addresses fundamental issues with ANN approximation of pricing models
Podcast: Horvath and Lee on market generator models
Quants explain the application of the latest techniques
Outsmarting counterparty risk with smart contracts
A digital transaction system developed by quants at DZ Bank could slash margin costs for derivatives
No silver bullet for AI explainability
No single approach to interpreting a neural network’s outputs is perfect, so it’s better to use them all
Podcast: Kondratyev and Schwarz on generating data
Market generator models may aid areas of finance where data is limited or sensitive
Podcast: Andrew Dickinson on CCPs’ defence mechanisms
Trades’ size limits, membership rules and more transparency key to avoid another CCP default
Small, speculative clearing members – are they worth the risk?
CCPs need new tools to scrutinise their members, for everyone’s good health
Hedging rate exotics, Bergomi-style
New paper by Nomura quant applies volatility model used in equities to exotic rate hedging
Quants bring ‘triptych’ of variables to risk measurement
Risk and portfolio managers at La Francaise and LFIS are squeezing more information out of stress tests
Podcast: Mats Kjaer on how trades affect the balance sheet
Bloomberg quant has developed a balance-sheet model for XVA pricing
Game theory plays well for capital management
Barclays quants use Shapley method to optimise capital allocation
Backtesting expected shortfall: mission accomplished?
A rigorous backtest for ES cannot exist, but a good approximation might do the job
Podcast: Acerbi on backtesting ES and FRTB’s patchwork rules
Banque Pictet quant explains a new backtesting method for expected shortfall
Podcast: McClelland on why you need a good MVA model
Numerix quant presents a model aimed at showing the total cost of a trade
Fishing for collateral with neural nets
SocGen quant uses deep learning technique to optimise collateral substitution
Podcast: Hans Buehler on deep hedging and harnessing data
Quant says a new machine learning technique could change the way banks hedge derivatives
Podcast: Hong on quanto derivatives and Asia’s quant drought
Credit Suisse quant talks about new paper on valuing quanto options
Podcast: Princeton’s Carmona on the future of quant education
Course director discusses machine learning explainability and reclaiming game theory from economists